Ching-Hsien Ko — OGILVIE

Ching-Hsien KoOF Ontario Tower Buzzers

Age 19 L/R 6'3" / 215 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION531 act + 10 ros · stats below = ROS only

showingROS

wRC+†93

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP282

ISO131

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$50M ctrl surplus

Tools · ContractCON 51 / POW 50

Toolsscout grade

CONTACT51

scouting grade only

POWER50

scouting grade only

EYE40

scouting grade only

SPEED50

scouting grade only

DEFENSE50

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+1.2	$7M	+$7M
2031	Pre-Arb	$0.9M	+1.2	$7M	+$6M
2032	Pre-Arb	$0.9M	+1.3	$7M	+$6M
2033	Arb-1	$5M	+1.4	$7M	+$4M
2034	Arb-2	$8M	+1.3	$6M	+$2M
2035	Arb-3	$11M	+1.2	$5M	+$0.6M
Totals		$26M		$37M	+$26M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	17	ROK	DSL LAD Bautista	—	40	29	7	3	0	1	11	7	0	1	1	241	450	448	898	207	286	18	28	408	162	+3	-0	—	—	+1	0.4
2025	18	A	Rancho Cucamonga Quakes	—	138	114	25	3	2	0	23	32	1	1	0	219	355	281	636	61	305	23	17	304	92	-1	+0	—	—	+3	0.2
2025	18	ROK	ACL Dodgers	—	226	180	66	15	2	4	39	40	5	5	3	367	491	539	1.030	172	449	18	17	453	193	+25	-0	—	—	+5	3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Bautista	—	40	34	6	2	0	1	6	10	0	1	1	176	300	324	624	147	221	25	15	283	78	-1	-0	—	—	+1	-0.0
2025	18	A MLE	Rancho Cucamonga Quakes	—	138	120	20	2	1	0	17	43	1	1	0	167	275	200	475	33	261	31	12	227	40	-10	+0	—	—	+3	-0.7
2025	18	ROK MLE	ACL Dodgers	—	226	195	53	10	1	3	24	58	5	5	3	272	366	379	746	108	363	26	11	330	109	+3	-0	—	—	+5	0.7
2024	17	ROK MLE	DSL LAD Bautista	—	40	34	6	2	0	1	6	10	0	1	1	176	300	324	624	147	217	25	15	283	78	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Bautista	—	40	29	7	3	0	1	11	7	0	1	1	241	450	448	898	207	286	18	28	408	78	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	364	315	74	12	3	3	41	102	6	6	3	235	334	321	655	86	335	28	11	291	83	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	364	294	91	18	4	4	62	72	6	6	3	310	439	439	878	129	395	20	17	397	83	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	40	34	6	2	0	1	6	10	0	1	1	176	300	324	624	147	221	25	15	283	78	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	364	314	74	12	3	3	41	102	6	6	3	236	334	322	656	86	324	28	11	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL LAD Bautista	—	40	34	6	2	0	1	6	10	0	1	1	176	300	324	624	147	221	25	15	283	78	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	364	314	74	12	3	3	41	102	6	6	3	236	334	322	656	86	324	28	11	291	83	—	—	—	—	—	—
YTD	19	A MLE	LAD	—	531	457	96	13	4	19	62	172	7	1	1	210	314	381	694	171	284	32	12	303	91	-6	-0	+0	-3	+12	0.3
▸ 2026 season
YTD	19	A RAW	LAD	—	531	430	112	17	5	21	89	128	7	1	1	260	395	470	865	209	318	24	17	383	91	—	—	—	—	—	—
ROS	19	A MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		287	30	10	306	93	-0	+0	-0	-0	+0	0.0
TOT	19	A MLE	LAD	—	541	466	97	13	4	19	63	175	7	1	1	208	312	376	687	167	282	32	12	303	91	-6	-0	-0	-3	+12	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAD	43%	573	495	109	17	4	18	66	168	7	5	3	220	320	380	700	160	289	29	12	313	98	-2	-0	-1	-3	+12	0.6
2028	21	MLB MLE	LAD	61%	609	527	119	19	4	20	70	172	7	7	4	226	325	391	715	165	290	28	11	320	103	+2	-0	-1	-4	+13	1.1
2029	22	MLB MLE	LAD	68%	627	542	125	20	4	22	72	172	8	8	4	231	330	404	734	173	291	27	11	326	107	+5	+0	-1	-4	+14	1.4
2030	23	MLB MLE	LAD	71%	638	552	129	21	4	23	73	172	8	10	5	234	332	411	743	178	291	27	11	330	110	+7	+0	-1	-4	+14	1.6
2031	24	MLB MLE	LAD	71%	637	550	129	21	4	23	74	170	8	10	5	235	334	413	747	178	292	27	12	333	112	+9	+0	-1	-4	+14	1.8
2032	25	MLB MLE	LAD	71%	639	552	130	21	4	24	74	170	8	11	5	236	334	418	753	183	292	27	12	335	113	+10	+0	-1	-4	+14	1.9
2033	26	MLB MLE	LAD	71%	642	554	131	21	4	24	75	171	8	11	6	236	336	419	755	182	292	27	12	336	113	+10	-0	-1	-4	+14	1.9
2034	27	MLB MLE	LAD	69%	639	551	130	21	4	24	75	170	8	11	6	236	336	419	755	183	292	27	12	336	113	+10	-0	-1	-4	+14	1.9
2035	28	MLB MLE	LAD	69%	633	545	128	20	4	24	75	170	8	11	6	235	336	418	754	183	291	27	12	335	113	+10	-0	-2	-4	+14	1.8
2036	29	MLB MLE	LAD	67%	621	534	124	19	4	23	74	168	8	11	5	232	334	412	746	180	290	27	12	333	111	+8	+0	-3	-4	+13	1.6
2037	30	MLB MLE	LAD	66%	610	525	120	19	3	22	73	166	7	10	5	229	331	402	732	173	289	27	12	330	110	+7	+0	-3	-4	+13	1.3
2038	31	MLB MLE	LAD	65%	595	512	116	18	3	21	71	164	7	9	5	227	329	396	725	170	286	28	12	326	107	+5	-0	-4	-4	+13	1.0
2039	32	MLB MLE	LAD	65%	577	496	111	17	3	20	69	161	7	8	4	224	327	391	718	167	283	28	12	321	103	+2	+0	-5	-3	+13	0.7
2040	33	MLB MLE	LAD	65%	547	471	102	15	3	18	65	156	6	7	4	217	319	376	695	159	279	29	12	314	98	-1	-0	-5	-3	+12	0.2
2041	34	MLB MLE	LAD	60%	499	431	91	13	3	16	59	145	6	6	3	211	315	367	681	155	273	29	12	305	93	-4	+0	-6	-3	+11	-0.2
2027	20	MLB CTX	LAD	43%	247	214	46	7	1	8	28	73	3	2	1	215	314	369	683	154	285	30	11	303	98	-1	+0	-0	-1	+5	0.3
2028	21	MLB CTX	LAD	61%	371	321	72	11	2	13	42	105	5	4	2	224	323	393	716	168	285	28	11	311	103	+1	+0	-1	-2	+8	0.7
2029	22	MLB CTX	LAD	68%	427	370	83	13	2	15	49	117	5	6	3	224	323	392	715	168	286	27	11	317	107	+3	+0	-1	-3	+9	0.9
2030	23	MLB CTX	LAD	71%	454	393	90	14	2	17	52	122	6	7	3	229	328	405	733	176	287	27	11	321	110	+5	+0	-1	-3	+10	1.2
2031	24	MLB CTX	LAD	71%	452	391	90	14	2	17	52	121	6	7	4	230	330	407	736	176	288	27	12	324	112	+6	-0	-1	-3	+10	1.2
2032	25	MLB CTX	LAD	71%	453	391	91	14	2	18	53	120	6	8	4	233	333	417	750	184	288	26	12	326	113	+7	+0	-1	-3	+10	1.3
2033	26	MLB CTX	LAD	71%	455	393	91	14	2	18	53	121	6	8	4	232	332	415	747	183	288	27	12	326	113	+7	+0	-1	-3	+10	1.4
2034	27	MLB CTX	LAD	69%	444	383	89	14	2	17	52	118	6	8	4	232	333	413	746	180	287	27	12	326	113	+7	+0	-1	-3	+10	1.3
2035	28	MLB CTX	LAD	69%	435	375	87	14	2	17	52	117	5	8	4	232	333	416	749	184	287	27	12	325	113	+7	+0	-1	-3	+9	1.2
2036	29	MLB CTX	LAD	67%	415	357	83	13	2	16	50	112	5	7	4	232	335	415	750	182	286	27	12	324	111	+6	-0	-2	-2	+9	1.0
2037	30	MLB CTX	LAD	66%	401	345	79	12	2	15	48	109	5	7	3	229	332	406	737	177	285	27	12	321	110	+5	+0	-2	-2	+9	0.9
2038	31	MLB CTX	LAD	65%	388	334	75	11	2	14	46	107	5	6	3	225	327	395	722	171	282	28	12	317	107	+3	+0	-3	-2	+8	0.7
2039	32	MLB CTX	LAD	65%	374	322	71	11	2	13	45	104	4	5	3	220	323	388	712	168	279	28	12	312	103	+1	-0	-3	-2	+8	0.4
2040	33	MLB CTX	LAD	65%	353	304	65	9	2	12	42	100	4	5	2	214	317	375	692	161	275	28	12	305	98	-1	+0	-3	-2	+8	0.2
2041	34	MLB CTX	LAD	60%	300	259	53	7	1	10	35	87	3	4	2	205	306	355	662	151	269	29	12	297	93	-3	+0	-4	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5969	5152	1165	178	28	220	699	1633	74	92	46	226	327	400	727	174	284	27	12	318	106	+55	+0	-24	-36	+129	12.6
/ 162G	—	A+C		—	650	561	126	19	3	24	76	178	8	10	5	225	326	398	723	173	282	27	12	318	106	+6	+0	-3	-4	+14	1.4
Career	—	MLE		—	9500	8195	1875	296	58	326	1113	2610	117	142	74	229	329	398	728	170	292	27	12	325	106	+78	-1	-38	-55	+197	18.6
/ 162G	—	MLE		—	650	561	128	20	4	22	76	179	8	10	5	228	329	396	724	168	292	28	12	325	106	+6	-0	-3	-4	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Alex Gordonlast yr '20 AS×3GG×7SS career totals — 14 seasons, 7,250 PA	10.9	7,250	190	113	257	338	410	-58	+22	27.4	26.4
/162	664	17	10	-5.3	+2.0	2.5	pk7: 25
#2Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
#3Chris Younglast yr '18 career totals — 13 seasons, 5,316 PA	8.0	5,316	191	142	235	314	428	-0	+3	21.3	20.7
/162	664	24	18	-0.0	+0.4	2.7	pk7: 20
#4Brad Wilkersonlast yr '08 career totals — 8 seasons, 3,753 PA	5.7	3,753	122	53	247	350	440	-35	-8	15.8	16.3
/162	664	22	9	-6.2	-1.4	2.8	pk7: 17
#5Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	9.5	6,290	220	94	230	326	402	-38	+0	18.4	14.9
/162	664	23	10	-4.0	+0.0	1.9	pk7: 11
#6Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Ching-Hsien Ko (OGILVIE)	19	30→51	35→50	50	40	211/311/360	150	287	9	2	31%	12%	93	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Moisés Ballesteros 2023 · A	19	42→52	47→50	45→40	47	215/281/345	130	270	15	5	26%	8%	77	-0.3	241/299/370	129	293	14	4	22%	7%	89	+0.5	255/314/382	127	304	14	3	20%	7%	96	+0.9
●Andy Pages 2021 · A	20	43→53	46→55	46→50	46	214/297/344	130	275	14	9	26%	8%	84	+0.1	213/299/399	186	281	23	6	32%	9%	97	+1.1	266/322/445	180	311	23	10	22%	6%	115	+2.3
●Austin Meadows 2014 · A	19	44→54	44→65	49→55	43	213/282/337	124	306	10	6	32%	8%	76	-0.4	244/294/365	121	313	9	11	24%	6%	86	+0.3	253/334/493	240	287	30	8	23%	10%	126	+2.4
●Max Kepler 2013 · A	20	44→54	44→60	53→50	44	217/278/338	120	274	10	6	24%	6%	74	-0.6	222/279/348	126	273	10	7	22%	7%	76	-0.4	237/322/446	209	251	25	4	17%	10%	113	+2.3
●Mark Vientos 2019 · A	19	42→50	46→60	43→30	45	215/275/340	125	273	14	3	26%	7%	74	-0.6	209/254/346	137	287	16	2	32%	5%	68	-1.0	243/303/441	198	304	26	1	28%	7%	106	+1.5
●Travis Snider 2007 · A	19	47→53	50→55	47→50	43	237/292/389	152	313	18	7	30%	7%	91	+0.7	242/299/400	158	345	17	3	33%	7%	96	+1.0	245/307/425	181	322	22	5	30%	8%	102	+1.3
●Jesús Sánchez 2017 · A	19	48→52	44→60	49→50	39	236/267/361	124	294	10	6	24%	4%	74	-0.6	241/275/366	125	311	12	5	26%	4%	78	-0.3	253/320/456	203	316	25	4	27%	8%	113	+1.7
✕Randy Florentino 2019 · A	19	46	45→50	45	51	220/308/355	135	308	10	8	30%	11%	89	+0.5	191/267/284	93	292	7	5	34%	9%	57	-1.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	219/296/333	114	288	7	10	25%	9%	80	-0.2	198/270/312	114	300	8	13	34%	9%	65	-1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
●Ryan McMahon 2014 · A	19	46→56	48→55	42→45	40	227/283/376	149	325	15	6	34%	7%	85	+0.2	217/274/360	143	325	13	6	35%	6%	78	-0.3	230/313/394	163	297	19	6	28%	10%	99	+1.3
✕Nomar Mazara 2015 · AA	20	41→51	46→55	43→40	42	207/268/335	128	286	13	3	32%	7%	70	-0.9	244/303/380	136	299	16	2	23%	7%	93	+0.8	252/315/424	173	294	21	3	22%	8%	100	+1.2
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
●Jackson Chourio 2022 · A	18	44→54	42→60	48→55	46	218/280/321	104	273	10	10	24%	7%	71	-0.8	234/280/388	154	309	17	19	29%	6%	86	+0.3	274/325/460	186	323	22	21	22%	7%	115	+2.3
●Cheslor Cuthbert 2012 · A	19	45→55	44→50	49→45	42	221/274/334	112	293	12	4	28%	6%	72	-0.7	216/259/316	100	271	9	6	23%	5%	61	-1.5	254/307/401	147	297	17	1	20%	7%	98	+0.6
●Junior Caminero 2022 · A	19	43→53	50→65	49→45	44	225/281/373	148	272	18	5	25%	7%	84	+0.1	251/299/413	162	303	21	7	24%	6%	99	+1.3	258/322/495	237	270	35	4	20%	8%	121	+2.8
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
●Esmerlyn Valdez 2023 · A	19	41→43	44→55	44→30	42	200/278/315	116	290	12	5	33%	8%	70	-0.9	197/274/331	134	305	16	4	38%	8%	72	-0.7	202/297/392	190	283	25	2	36%	10%	92	+0.6
✕Samuel Zavala 2023 · A	19	43→44	47→45	48→50	45	213/280/355	142	293	13	10	31%	8%	79	-0.2	192/286/304	112	288	12	12	34%	11%	71	-0.8	189/288/289	99	265	11	12	30%	11%	65	-1.0
✕Khalil Lee 2017 · A	19	43→51	44→45	50→55	43	202/283/323	121	316	10	9	36%	9%	73	-0.6	204/278/318	114	334	10	17	39%	8%	70	-0.9	209/305/319	110	333	10	25	36%	9%	78	-0.2
✕John Drennen 2006 · A	19	39→49	47→45	47→45	42	202/261/332	130	256	15	8	28%	6%	67	-1.1	220/278/321	101	286	9	6	25%	6%	70	-0.8	243/293/365	122	288	8	1	18%	6%	83	+0.1

Career Stats + Projections

Career Comps

Career Path Comps